Discover rbhatia46/Greenblatt-Magic-Formula-Value-Investing Open

Fetching financial data for technical & fundamental analysis and algorithmic trading from a variety of python packages and sources.

500

Fetching-Financial-Data

Using OpenCV to detect Lane Lines on a road, one of the most fundamental concepts for building a Self-Driving car.

172

Lane-Line-Detection

Twitter Sentiment Analysis using Textblob and Tweepy, wrapped with Flask as a web app.

Twitter-Sentiment-Analysis-Web

Spatio Temporal DBSCAN algorithm in Python. Useful to cluster spatio-temporal data with irregular time intervals, a prominent example could be GPS trajectories collected using mobile devices.

Spatio-Temporal-DBSCAN

The famous and simple Dual Moving Average crossover strategy implemented in Python, and then backtesting it on 2 years of AAPL stock.

Dual-Moving-Average-Crossover-Python

Predicting buy/sell of Reliance Stock using a Support Vector Machine on top of commonly used technical indicators.

Reliance-Stock-prediction-using-SVM

Given a 3D point cloud obtained by a LiDAR sensor mounted on a car, output the road properties such as road boundaries, lane markings, lane geometry.

LiDAR-Road-Analysis

Deciding the strike price for writing options, based on the Open Interest from the option chain data from NSE(National Stock Exchange)

Option-Writing-Calls-Using-Open-Interest

This repository contains iPython notebooks to get you started with sufficient amount of Python you need to learn to get started with your Data Science Journey.

Python-for-Data-Science

This repository includes all the Data Preprocessing required before using a dataset on a Machine Learning Model. Please refer README on how to use.

Data-Preprocessing-Template

Intraday 1 minute tick Data for Nifty and Bank Nifty for backtesting purposes.

Intraday-1-Minute-data-Nifty-BankNifty

AutoML-TimeSeries-Forecasting

Use of ATSPy, a library to automate time series forecasting, using multiple models and ensembles.

Implementation of the Pan-Tompkins algorithm in Python for the detection of QRS Complex in an ECG signal.

Pan-Tompkins-Algorithm-Python

A chat app built using React Native and Firebase.

ReactChat

Identifying market regime through Gaussian Mixture Models and Markov Regression

Market-Regime-Identification-using-GMM-and-Markov-Regression

A memory game built in JavaScript implementing all the basic concepts of Vanilla JS

MemoryGame

This work demonstrates the use of an LSTM-Autoencoder, implemented using Tensorflow and Keras, to detect anomalies in Timeseries data, using an example of anomalies in the daily closing price of Nifty50, the equity index of the National Stock Exchange.

Anomalies-Nifty50-LSTM-Autoencoder

Small Example demonstrating how we can use DBSCAN with a groupby in a distributed manner across multiple worker nodes, using Pandas UDF in Spark.

DBSCAN-on-Spark

Identify zones of demand/supply(also called Support/Resistance) for financial assets using Python.

Demand-Supply-Identification-Python

Stock price forecasting for Reliance Stock using FBProphet.

Stock-Forecasting-Prophet

Actor-Critic-RL-for-Algo-Trading

A Simple News app built using the Flutter Mobile Development SDK

FlutterNews

Dart

Monte-Carlo-Portfolio-Optimization

The notebook demonstrates Monte Carle Simulation to optimize weights for portfolio allocation to obtain maximal expected Sharpe Ratio

Simple Chatroom app implemented using Socket.io. Uses Node.js and Express Server as a backend.

SocketChat

A demonstration of JS Animation using Canvas that features Snow falling on the screen and some animation using Pure Vanilla JS.

Canvas-Snow

Food sharing app to prevent food waste by creating an interactive multi-channel system that will allow people with surplus excess foods from Weddings , Parties, and other events, to contact 'ShareFood' to donate food

ShareFood

Java

GithubBattle

An app that compares two github users and rates them on various parameters and chooses a winner.

Pair trading in Python - Testing for Correlation and Co-integration.

pair-trading-python

Lending Club Loan Default Analysis using historic loan applications data.

LendingClub-Loan-Analysis

Best Blogs for Data Science and Machine Learning

Awesome-Data-Science

Nifty-Monthly-Weekly-Movement

Personalised-Cancer-Treatment

An app which finds all nearby cafes within a given radius and uses the Google Places API

CafeFinder

A repository that helps evaluate an investment portfolio and provides risk analytics using an amazing open-source package developed by Quantopian, called PyFolio.

Evaluating-Investments-using-PyFolio

Automating-Value-Investing

A script to automate the concept of value investing using Python by some of the fundamental concepts suggested by Benjamin Graham and Warren Buffet.

Implementation of Heikin Ashi candlesticks in Python

heikin-ashi-python

Object Detection Example using ImageAI library.

ObjectDetectionImageAI

An animation of black hole for landing page of a website

SVGBlackHole

TypeScript

OHLC-to-CandlestickPlot-Python

Small Snippet of Python Code to convert historical OHLC data for a particular stock to Candlestick charts.

This repo is a roadmap for any beginner who wishes to learn Data Science, covering all the basic concepts needed, from all the programming to the math, and including relevant resources to go from zero to being a full stack Data Scientist.

Zero-To-FullStack-Data-Science

Classification-Metrics

This repository discusses and implements most commonly used classification metrics.

Options-Pricing-Monte-Carlo

A monte Carlo simulation for Options Pricing, using Geometric Brownian Motion in Python.

Usage of LabelEncoder on a Pandas Dataframe, and encoding multiple Columns at once.

stanford-ner-jars

stanford ner jars

MultiColumn-Label-Encoder

Quick reference and cheatsheet for commonly used Hive Commands

Hive-Cheatsheet

Rails-REST-API

Simple REST API using RoR with basic CRUD functionality.

Ruby

Deep_Learning_Cheatsheets

Contains cheatsheets for essential Data Science libraries in Python.

PyCon-ID-2020-Demo

Demo Notebook for my talk "Top Notch Categorical Encoding using Python", presented at PyCon ID 2020

Searches and gives information about a user with given Github user name.

GithubSearch

And end-to-end Machine Learning pipeline with PySpark-ML for the famous Telco Customer Churn dataset

end-to-end-pyspark

Whether - The Weather App

Whether

TypeScript

llama2-finetune-finance-alpaca-colab

Fine tuning a LLaMA 2 model on Finance Alpaca using 4/8 bit quantization, easily feasible on Colab.

Predicting the Google Stock Price using an LSTM Network.

GoogleStockPrediction

A simple Python Script using a Decision Tree Classifier to classify a person as a Male or Female based on their height, weight and Shoe Size.

GenderClassification

A convolutional neural network written in Keras to classify Cats and Dogs using Tensorflow as backend.

CatsAndDogsClassifier

Youtube Android App UI in React Native

YouTubeUIReactNative

A simple Bot using Artificial Intelligence and NLP to interact with the user and give weather details of a particular destination to the user. Live demo at https://rbhatia46.github.io/weather-ai-bot. Note : This is a production build of the app and the front end was made using React.

weather-ai-bot

HTML

Confidence-Interval-Using-Bootstrapping

Computing the confidence intervals using Bootstrapping. It is very useful when we have to compute the confidence interval for any other statistic apart from mean(where CLT can be used) given we dont know anything about the underlying distribution of the data.

The objective of this project was to predict the taxi demand for yellow cabs in a particular region in next 10 minutes for New York city. Based on the data, machine learning model predicts the pickup demand of cabs in 10 minutes time frame. The data was provided by the Taxi & Limousine Commission for yellow cabs. Correct prediction of the same can fairly improve the time utilization of a taxi driver.

NYC-Taxi-Demand-Prediction

A simple React app fetching prices of BitCoin, Ethereum and Litecoin from CoinMarketCap. Live Demo on

react-cypto-watcher

A Fully functional contact form implemented with backend in Firebase and storing the data in the Firebase Database.

FirebaseContact

CSS

Numpy-Pandas-Beginner-Tutorial

A beginner friendly tutorial for Numpy and Pandas for people who are complete beginners and just wanting to start their Data Science/Machine Learning journeys.